The study explores the dynamic interconnections between selected macroeconomic factors and the GDP growth in India using monthly time series data from 2012 to 2022. The study has employed time series regression, unit root test, cointegration, error correction method and cumulative sum test after performing the pre-tests like, tests for autocorrelation, serial correlation, multicollinearity, heteroscedasticity and normality. The study found a significantly negative correlation between all the selected macroeconomic factors (except interest rate) with the GDP growth. The regression could explain more than fifty percent of the variability of the movement of GDP growth. The cointegration results confirmed that the macroeconomic factors are cointegrated in the prolong direction. However, there is no prolong period of causality established from the error correction results, while short run causal relationship exists between GDP growth and Nifty 50, gold price and imports implying that GDP growth is significantly associated with stock market performance, gold prices and imports in short run periods.